TY  - JOUR 
AU  - Arroyo Puente, Ángel
AU  - Cambra Baseca, Carlos
AU  - Herrero Cosío, Álvaro
AU  - Tricio Gómez, Verónica
AU  - Corchado, Emilio
PY  - 2019
SN  - 1367-0751
UR  - http://hdl.handle.net/10259/7255
AB  - This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution in
Madrid (Spain’s capital city). The goal of this work is to explore the dataset and then compare several scenarios with...
LA  - eng
PB  - Oxford University Press
KW  - Air quality
KW  - Time evolution
KW  - Self-organizing maps
KW  - Trajectories
KW  - Data visualization
KW  - Informática
KW  - Computer science
TI  - Self-Organizing Maps to Validate Anti-Pollution Policies
DO  - 10.1093/jigpal/jzz049
T2  - Logic Journal of the IGPL
VL  - 28
M2  - 596
ER  -